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Monitoring method of farmland cotton aphid damage grade model based on unmanned aerial vehicle imaging

An unmanned aerial vehicle and imaging technology, applied in radio wave measurement system, spectrometry/spectrophotometry/monochromator, measuring device, etc. Yarn and other problems, to achieve fast and non-destructive and accurate investigation results, and improve the accuracy of the model

Pending Publication Date: 2020-04-24
乔红波
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  • Summary
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Severe occurrence of cotton aphids often leads to curling of young cotton leaves, shortening of root system, delayed budding, reduced number of buds and bolls, delayed boll opening and reduced yield. , at the same time, it will pollute the cotton wool and reduce the quality, which is not conducive to spinning
[0003] At present, the plant protection department investigates the occurrence of plant diseases and insect pests, and the data collection methods still rely on traditional methods such as field surveys and field sampling by plant protection personnel. Disadvantages such as poor timeliness, it is difficult to meet the real-time and efficient monitoring needs of large-scale pests and diseases, and it does not have the ability to diagnose and obtain real-time data of cotton field pests and diseases under the conditions of large-scale cotton production
In addition, in the current agricultural production process in our country, due to the uncertainty of the occurrence of pests and diseases and the psychology of farmers relying too much on pesticides to ensure production, irrational use of chemical pesticides often occurs
The excessive use of pesticides not only increases the production cost of agriculture, but also causes problems such as pesticide poisoning and pesticide residues, and at the same time brings great hidden dangers to food security and environmental problems

Method used

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  • Monitoring method of farmland cotton aphid damage grade model based on unmanned aerial vehicle imaging
  • Monitoring method of farmland cotton aphid damage grade model based on unmanned aerial vehicle imaging
  • Monitoring method of farmland cotton aphid damage grade model based on unmanned aerial vehicle imaging

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Embodiment Construction

[0026] The present invention will be further described below with reference to the accompanying drawings and specific embodiments. The present embodiment provides a detailed implementation manner on the premise of the technical solution of the present invention.

[0027] The method for monitoring the damage grade model of cotton aphid in farmland based on UAV imaging according to the present invention includes the following steps: 1) data collection; 2) data preprocessing; 3) regression analysis; 4) model building.

[0028] The data collection includes human-machine aerial imaging hyperspectral data collection and ground non-imaging hyperspectral data collection. Before data collection, it is necessary to determine the data collection area. In the present invention, a test plot with serious occurrence of aphids in the field is selected, and any pesticides that inhibit the growth of aphids are not applied during the test. 20 ridges are selected as the data collection region in t...

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Abstract

The invention discloses a method for monitoring a farmland cotton aphid damage grade model based on unmanned aerial vehicle imaging. The method comprises the following steps: 1) performing data acquisition; 2) performing data preprocessing; 3) performing regression analysis; and 4) constructing a model; wherein the data acquisition comprises unmanned aerial vehicle aerial imaging hyperspectral data acquisition and ground non-imaging hyperspectral data acquisition; establishing a cotton canopy leaf area index LAI hyperspectral remote sensing estimation model corresponding to different aphid damage levels according to the farmland acquisition data, and performing inversion by applying an imaging hyperspectral image to obtain a visual and quantitative cotton canopy leaf area index LAI spatialdistribution map. A hyperspectral instrument is combined with an unmanned aerial vehicle technology, and according to an electromagnetic wave theory, electromagnetic wave information radiated and reflected by different sensors to a target is applied to perform data acquisition and processing on a farmland, and finally imaging is performed to construct a hyperspectral remote sensing cotton aphid occurrence situation identification model.

Description

technical field [0001] The invention belongs to the technical field of plant protection, and in particular relates to a monitoring method for a damage grade model of cotton aphid in farmland based on UAV imaging. Background technique [0002] China has been known as an agricultural country since ancient times. As an important fiber crop, cotton has a long history of planting in my country and is one of the important economic crops in China, with an annual output value accounting for more than 50% of my country's economic crops. Pests and diseases are one of the important factors limiting yield in cotton production. Among them, cotton "three insects (cotton bollworm, cotton aphid, cotton spider mites)" and "two diseases (cotton fusarium wilt, cotton verticillium wilt)" are the most widely distributed and most serious cotton diseases and insect pests, and there is an increasing trend. , the average annual yield loss is about 15% to 20%, which has become the main problem of t...

Claims

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Application Information

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IPC IPC(8): G06K9/00G01C11/00G01J3/28G01N21/25G01S19/42
CPCG01J3/2823G01C11/00G01N21/25G01S19/42G06V20/188
Inventor 乔红波郭伟汪强王健吴旭
Owner 乔红波
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